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子宫内膜异位症的生物标志物鉴定:实时术中荧光成像的新方法——一种利用转录组分析拓宽潜在生物标志物搜索范围的新方法。

Biomarker identification for endometriosis as a target for real-time intraoperative fluorescent imaging: A new approach using transcriptomic analysis to broaden the search for potential biomarkers.

机构信息

Department of Gynecology, Leiden University Medical Center, 2333 ZA Leiden, The Netherlands.

Department of Gynecology, Leiden University Medical Center, 2333 ZA Leiden, The Netherlands.

出版信息

Eur J Obstet Gynecol Reprod Biol. 2023 Sep;288:114-123. doi: 10.1016/j.ejogrb.2023.07.007. Epub 2023 Jul 19.

DOI:10.1016/j.ejogrb.2023.07.007
PMID:37506597
Abstract

Intra-operative fluorescent imaging of endometriosis could help to optimize surgical treatment. Potential biomarkers to use as target for endometriosis-binding fluorescent probes were identified using a new five-phase transcriptomics-based approach to broaden the search for biomarkers. Using publicly available datasets, a differentially expressed gene (DEG) analysis was performed for endometriosis versus surgically relevant surrounding tissue (peritoneum, bladder, sigmoid, rectum, transverse colon, small intestine, vagina, and fallopian tubes) for which data was available. The remaining relevant surrounding tissues were analyzed for low expression levels. DEGs with a predicted membranous or extracellular location and with low expression levels in surrounding tissue were identified as candidate targets. Modified Target Selection Criteria were used to rank candidate targets based on the highest potential for use in fluorescent imaging. 29 potential biomarkers were ranked, resulting in Folate receptor 1 as the most potential biomarker. This is a first step towards finding a fluorescent tracer for intra-operative visualization of endometriosis. Additionally, this approach, using transcriptomics analysis to identifying candidate targets for a specific type of tissue for use in fluorescence-guided surgery could be translated to other surgical fields. TWEETABLE ABSTRACT: A new approach using transcriptomics analysis is shown to identify candidate targets for intra-operative fluorescent imaging for endometriosis, resulting in 29 potential candidates.

摘要

手术中子宫内膜异位症的荧光成像有助于优化手术治疗。使用一种新的基于五阶段转录组学的方法来拓宽生物标志物的搜索范围,确定了用于子宫内膜异位症结合荧光探针的潜在生物标志物。使用公开可用的数据集,对子宫内膜异位症与手术相关的周围组织(腹膜、膀胱、乙状结肠、直肠、横结肠、小肠、阴道和输卵管)进行差异表达基因(DEG)分析,这些组织的数据是可用的。对其余相关周围组织进行低表达水平分析。鉴定出具有预测的膜或细胞外位置且在周围组织中低表达的 DEG 作为候选靶标。使用修改后的目标选择标准,根据在荧光成像中使用的最高潜力对候选靶标进行排名。对 29 个潜在的生物标志物进行了排名,结果表明叶酸受体 1 是最有潜力的生物标志物。这是寻找用于子宫内膜异位症手术中可视化的荧光示踪剂的第一步。此外,这种使用转录组学分析来鉴定用于荧光引导手术的特定类型组织的候选靶标的方法可以转化到其他手术领域。

TWITTER 短文本:使用转录组学分析的新方法被证明可用于鉴定子宫内膜异位症手术中荧光成像的候选靶标,从而产生 29 个潜在的候选靶标。

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